Lenka Zdeborová

EPFL AI Center and Swiss AI Initiative Postdoctoral Fellowships The 2nd call is now open with a deadline for submissions of 3 November (17.00 CET)!Applications are encouraged from researchers at the postdoctoral level with a keen interest in collaborative, interdi...

Would you like to come to my lab for a postdoctoral position? Apply for the EPFL AI Centre fellowship: epfl.ch/research/fun.... FYI, I have funding (ERC & Simon's collaboration) also for 1-2 top candidates who will not secure the fellowship. Same for
@krzakalaf.bsky.social lab.

Scaling laws don’t just show up in test error — they leave fingerprints in the weight spectrum.
In the feature learning regime, we map this connection: phase diagrams of scaling exponents <-> spectral signatures of trained weights. The paper is: arxiv.org/abs/2509.24882

See the speakers for 2025-26 #KempnerInstitute Seminar Series!
bit.ly/46xphKq

@moiradillon.bsky.social @lisik.bsky.social @profsanjeevarora.bsky.social @kyunghyuncho.bsky.social @scychan.bsky.social @stellaathena.bsky.social @judithfan.bsky.social @engeltatiana.bsky.social @zdeborova.bsky.social

#Communiqué 🗞️ La médaille d'or 2025 du CNRS est décernée à Stéphane Mallat, mondialement reconnu pour ses travaux autour des mathématiques appliquées au traitement du signal et à l’intelligence artificielle. 👏

👉 cnrs.fr/fr/presse/en...

#TalentsCNRS 🏅

Simons Foundation Launches Collaboration on the Physics of Learning and Neural Computation Simons Foundation Launches Collaboration on the Physics of Learning and Neural Computation on Simons Foundation

Led by @stanford.edu's @suryaganguli.bsky.social, our Simons Collaboration on the Physics of Learning & Neural Computation will study AI's fundamental scientific principles: www.simonsfoundation.org/simons-foundation-launches-collaboration-on-the-physics-of-learning-and-neural-computation/ #science

Assistant/associate Professor of AI-assisted Biophysics at the Ecole polytechnique fédérale de Lausanne (EPFL) and Group Leader at the Paul Scherrer Institute (PSI) The School of Basic Sciences (Physics, Chemistry and Mathematics) at EPFL and the Paul Scherrer Institute (PSI) jointly seek to appoint a Tenure Track Assistant or tenured Associate Professor in AI-As...

A no-miss opportunity to join EPFL. We are a vibrant (had to use it 😉) community working in all branches of basic sciences and engineering, and interdisciplinary studies are strongly encouraged.
If you want more information, contact the committee heads, or feel free to DM me.

tinyurl.com/bd27ky7p

Today's presentation was given by Andrew Saxe, University College London "Models of representation learning dynamics " during the conference organized by @krzakalaf.bsky.social & @zdeborova.bsky.social
EPFL Université de Corse Université Côte d'Azur @cnrs-dr12.bsky.social

This morning, Praya Sur from @harvard.edu gave her presentation "Two problems at the intersection of statistics and machine learning: Calibration and Data Integration"
during the conference organized by @krzakalaf.bsky.social & @zdeborova.bsky.social

Brice Huang, from Stanford University gave a talk this morning at @iescargese.bsky.social about "Spins Glass, Algorithms, and Inference" during the conference organized by@krzakalaf.bsky.social & @zdeborova.bsky.social
@icepfl.bsky.social@cnrs-dr12.bsky.social
#statisticalPhysic #MachineLearning

Saturday, during the conference organized by @krzakalaf.bsky.social & @zdeborova.bsky.social, M. Yue Lu @harvard.edu gave a talk about " Gaussian Equivalence for Nonlinear random matrices:Why it works, and where it fails"
@icepfl.bsky.social Université Côte d’Azur Université de Corse

Peter Bartlett UCBerkeley gave a talk yesterday at @iescargese.bsky.social about "Optimization in neural nets, large steps size and implicit bias" during the conference organized by @krzakalaf.bsky.social & @zdeborova.bsky.social @icepfl.bsky.social
#statisticalPhysic #MachineLearning

Presentation on Thursday, August 7, given by Bruno Loureiro, ENS Paris, on “An overview on Gaussian Multi-Index Model" during the conference organized at IES Cargese by @krzakalaf.bsky.social & @zdeborova.bsky.social
EPFL Université Côte d’Azur Université de Corse @cnrs-dr12.bsky.social

From August 05 to August 15, l'IES Cargese will be hosting "Statisticial Physic and Machine Learning : Moving Forward" organized by Florent Krzakala & Lenka Zdeborova @krzakalaf.bsky.social @zdeborova.bsky.social
Université de Corse Université Côte d'Azur @cnrs-dr12.bsky.social @icepfl.bsky.social

First talk today, given by @giuliobiroli.bsky.social, @lpens-phys.bsky.social on “Statistical physics and diffusion models” during the conference “Statistical physics and machine learning: Moving forward” organized at IES Cargese by @krzakalaf.bsky.social & @zdeborova.bsky.social

Today at the IES Cargese during conference “Statistical Physics & Machine Learning: Moving Forward”, Michael M. Bronstein, @mmbronstein.bsky.social @ox.ac.uk #AITHYRA, gave a presentation on “Geometric Deep Learning”.
@krzakalaf.bsky.social & @zdeborova.bsky.social

Little by little all of them … all intellectuals are uncomfortable for such a government. How is that not clear?

🎉 Congratulations to Anastasia Ailamaki, Mathias Payer, Lenka Zdeborová & Pascal Fua for receiving Advanced Grants for research in data systems, security, neural networks & computer-assisted engineering, a record 4 awards for EPFL’s IC School! 🏆

🔗 Learn more: news.epfl.ch/news/ic-rese...

While I contributed to this line of work and to this piece; I’m quite sure that modern AI would exist even without Hopfield and Hinton. There is a huge community behind each influential concept, and while prizes are given to individuals, it is the community that creates the science.

YouTube video by fisica di tutti i giorni Interview with Lenka Zdeborova

Towards StatPhys2025: interview with @zdeborova.bsky.social (EPFL) by Franco Bagnoli (Dept. Physics and Astronomy, University of Florence & Caffè-Scienza).

youtu.be/hplPGzFSRyo

YouTube video by Cosyne Talks Cosyne 2025 - Session 6: Neural network theory

Happy to share the recording of my plenary talk at Cosyne 2025 two days ago. You will learn about the statistical physics approach, phase transitions in learning, transformers, sequence models, attention etc. www.youtube.com/watch?v=PurZ...

Excited about our progress in characterizing The Computational Advantage of Depth in Learning with Neural Networks. Check out the number of samples that can be saved when GD runs on a multi-layer rather than on a two-layer neural network. arxiv.org/pdf/2502.13961

Simons Lectures YouTube video by MIT Department of Mathematics

The series of three Simons Lectures I gave in MIT Math last April is now on YouTube. If you want to hear about *Computation through the lens of spin glasses*, have a look: www.youtube.com/embed/94XXGG...

Sure, feel free!

EPFL AI Center Postdoctoral Fellowships The EPFL AI Center Postdoctoral Fellowship call for proposals is now open with a deadline on 29 November 2024 (17:00 CET).Applications are encouraged from researchers at the postdoctoral level with a ...

EPFL's new AI Center has a Call for applications for postdoc fellowships in all AI-related areas. Come join if you're interested in working with me and fantastic AI colleagues!

Extra Perk: We actually do have lots of GPUs !

Deadline: November 29th

More info at:
www.epfl.ch/research/fun...

I am doing just that since about a decade! No Elsevier no Nature/Springer I do not review for them, do not publish there. I refused a couple of editorial boards with them, numerous special issue invitations. If a young colleague writes in their cv this is their moral code I would deeply respect it.

Our advance in statistical physics analysis of simple graph convolutional neural networks arxiv.org/pdf/2402.03818 will appear at the Learning on Graphs conference: logconference.org. My student Odilon has now extended this to the multi-layer case, so more is coming soon.

🙋‍♀️